5e9bc28abe
This commit significantly improves the functionality by implementing fuzzy semantic search to find contextually relevant dependencies: - Add Fuse.js for powerful fuzzy search capability with weighted multi-field matching - Implement score-based relevance ranking with high/medium relevance tiers - Enhance context generation to include detailed information about similar tasks - Fix context shadowing issue that prevented detailed task information from reaching the AI model - Add informative CLI output showing semantic search results and dependency patterns - Improve formatting of dependency information in prompts with task titles The result is that newly created tasks are automatically placed within the correct dependency structure without manual intervention, with the AI having much better context about which tasks are most relevant to the new one being created. This significantly improves the user experience by reducing the need to manually update task dependencies after creation, all without increasing token usage or costs.
616 B
616 B
task-master-ai
| task-master-ai |
|---|
| patch |
This change significantly enhances the add-task command's intelligence. When you add a new task, Taskmaster now automatically:
- Analyzes your existing tasks to find those most relevant to your new task's description.
- Provides the AI with detailed context from these relevant tasks.
This results in newly created tasks being more accurately placed within your project's dependency structure, saving you time and any need to update tasks just for dependencies, all without significantly increasing AI costs. You'll get smarter, more connected tasks right from the start.